TEMPE: Topical Eutectic-Like Mixture for Premature Ejaculation
Bibliographic record
Abstract
BACKGROUND: Premature ejaculation (also known as rapid or early ejaculation) is the most common form of sexual dysfunction experienced by men, but there is presently an unmet need for a licensed pharmaceutical product that can be used on demand and that is effective from the first dose. OBJECTIVE: TEMPE (Topical Eutectic-Like Mixture for Premature Ejaculation; Plethora Solutions Plc.) is a proprietary metered-dose aerosol containing a combination of the well-known local anaesthetics lidocaine and prilocaine in a novel formulation. The authors evaluate here the progress that has been made towards the reformulation of these local anaesthetic agents into a unique eutectic-like formulation for use as a desensitising agent in the treatment of premature ejaculation, as well as examining other potential uses for the spray, such as pain relief at skin-graft donor sites. METHODS: Both lidocaine and prilocaine are soluble in the hydrofluoroalkane (HFA-134a) propellant, providing a unique formulation in which the pressurised liquid propellant is used as the solvent. Deployment of the metered-dose chamber vaporises the propellant, spraying lidocaine and prilocaine, now forced into a eutectic-like combination that remains in liquid form at temperatures well below their individual melting points, onto the target surface. The site is thus easily covered in a controlled dose of pure local anaesthetic in base form, providing ideal circumstances for optimised absorption through non- or poorly-keratinised skin, mucus membranes and wound surfaces. RESULTS/CONCLUSION: TEMPE has been developed for use in premature ejaculation and preliminary results show promising improvements in intravaginal ejaculatory latency, as well as patient-reported outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".